Michael Gadermayr
About
Michael Gadermayr is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology.
According to data from OpenAlex, Michael Gadermayr has authored 32 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Oncology. Recurrent topics in Michael Gadermayr’s work include AI in cancer detection (13 papers), Colorectal Cancer Screening and Detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Michael Gadermayr is often cited by papers focused on AI in cancer detection (13 papers), Colorectal Cancer Screening and Detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Michael Gadermayr collaborates with scholars based in Austria, Germany and United States. Michael Gadermayr's co-authors include Dorit Merhof, Peter Boor, Barbara M. Klinkhammer, Gertie Janneke Oostingh, Andreas Uhl, Laxmi Gupta, Burkhard Gess, Madlaine Müller, Ann-Kathrin Dombrowski and Andreas Vécsei and has published in prestigious journals such as IEEE Transactions on Medical Imaging, World Journal of Gastroenterology and Journal of Magnetic Resonance Imaging.
In The Last Decade
Co-authorship network of co-authors of Michael Gadermayr i
Fields of papers citing papers by Michael Gadermayr
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Michael Gadermayr. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Gadermayr may publish in the future.
Countries citing papers authored by Michael Gadermayr
Since SpecializationCitations
This map shows the geographic impact of Michael Gadermayr's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Gadermayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gadermayr more than expected).
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